Deploy AI Systems You Can Trust
Transform AI outputs from predictions to trusted decisions. Take advantage of the Signaloid ONNX runtime which builds on our UxHw® technology to enable automated uncertainty quantification of pre-trained models. Deploy on systems ranging from microcontroller-based platforms to high-performance edge devices and the cloud.
Run your pre-trained ONNX-format models on the Signaloid Compute Engine and see how uncertainties in model inputs affect the spread of possible model outputs. Direct computation of uncertainty with Signaloid's UxHw technology is easier to achieve and faster than traditional approaches based on Monte Carlo methods.
Automatically see exactly how uncertain your AI predictions are.
Vital for mission-critical applications such as:
Medicine: Treatment decisions need confidence levels
Finance: Risk assessments require uncertainty bounds
Any high-stakes AI/ML: Know before you act
Run your AI/ML model inference on UxHw-enhanced compute platforms to obtain clear insights into prediction confidence, showing whether alternatives are narrow or wide. Easily integrate the Signaloid Cloud Compute Engine or Signaloid's hardware modules with your current systems.
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speedup
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reduction in software implementation cost for compute-intensive applications*
Solutions
Choose between running computations on our cloud-based compute engine or on your current on-premises infrastructure.
Technology Explainers
Signaloid's technology provides deterministic uncertainty tracking methods by utilising efficient arithmetic on probability distributions while integrating with existing edge hardware. These technology explainer articles provide further details on how this technology benefits AI and Machine Learning Models, from the underlying mathematics to the engineering implementations.
